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Adaptive Fuzzy Control of an Active Vibration Isolator

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Advances in Neural Networks – ISNN 2011 (ISNN 2011)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 6676))

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Abstract

This paper focuses on control of an active vibration isolator that possesses a strong nonlinearity and parameter uncertainty. An adaptive fuzzy controller is developed. A backstepping approach is employed to design the controller. A fuzzy logical system is used to approximate the unknown nonlinear function in the system. The developed controller guarantees the boundedness of all the signals in the closed-loop system. The unique feature of the developed controller is that only one parameter needs to be adapted online. The effectiveness of the controller is demonstrated by a computer simulation.

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References

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Author information

Authors and Affiliations

  1. Faculty of Engineering, Lakehead University, Thunder Bay, Canada

    Naibiao Zhou, Kefu Liu & Xiaoping Liu

  2. Institute of Complexity Science, Qingdao University, Qingdao, China

    Bing Chen

Authors
  1. Naibiao Zhou
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  2. Kefu Liu
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  3. Xiaoping Liu
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  4. Bing Chen
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Editor information

Editors and Affiliations

  1. Institute of Automation, Key Laboratory of Complex Systems and Intelligence Science, Chinese Academy of Sciences, 100190, Beijing, China

    Derong Liu

  2. College of Information Science and Engineering, Northeastern University, 110004, Shenyang, Liaoing, China

    Huaguang Zhang

  3. Department of Electrical and Computer Engineering, University of Cyprus, 75 Kallipoleos Avenue, 1678, Nicosia, Cyprus

    Marios Polycarpou

  4. Dipartimento di Elettronica, Politecnico di Milano, Piazza L. da Vinci 32, 20133, Milano, Italy

    Cesare Alippi

  5. Deptartment of Electrical, Computer and Biomedical Engineering, University of Rhode Island, 02881, Kingston, RI, USA

    Haibo He

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© 2011 Springer-Verlag Berlin Heidelberg

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Zhou, N., Liu, K., Liu, X., Chen, B. (2011). Adaptive Fuzzy Control of an Active Vibration Isolator. In: Liu, D., Zhang, H., Polycarpou, M., Alippi, C., He, H. (eds) Advances in Neural Networks – ISNN 2011. ISNN 2011. Lecture Notes in Computer Science, vol 6676. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21090-7_64

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  • DOI: https://doi.org/10.1007/978-3-642-21090-7_64

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-21089-1

  • Online ISBN: 978-3-642-21090-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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